Cat® Bucket Configurator

Free

2.4.0for iPhone, iPad

Caterpillar Inc.

Developer

Sep 27, 2019

Update Date

Business

Category

App Store

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Cat® Bucket Configurator Screenshots

iPad

iPhone

About Cat® Bucket Configurator

Cat® Bucket Configurator is a mobile application that can be used for searching buckets, requesting a quote and ordering a product. Also user can order for multiple buckets in a single order using cart functionality. User can view the history of quotes and order created by him.

What's New in the Latest Version 2.4.0

Last updated on Sep 27, 2019

Old Versions

Upgraded Angular version 4 to 7

Version History

2.4.0

Sep 27, 2019

Upgraded Angular version 4 to 7

2.3.1

Jul 23, 2019

Auto populate single options in Bucket Select Page

2.3.0

Jun 29, 2019

French Language Support
Minor Bug Fixes

2.2.13

Feb 4, 2017

Convert To Order option enabled in history page Cart Page button Reads Quote instead of Order only for US dealers

2.2.12

Feb 4, 2017

1) List price should be rounded up to the nearest whole digit in Bucket Details. 2) Introduced Work In Progress page during the data base deployment process in production.

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